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AT A GLANCE
Data visualization is the practice of turning numbers and information into visual formats like bar charts, pie
charts, maps, line graphs, and infographics.
Google Data Studio (now called Looker Studio) is a free online tool for creating live, interactive reports and
dashboards.
Canva and Piktochart are web-based design platforms often used for creating infographics, posters, and
presentation-friendly visuals.
Data visualization in Python is primarily done using libraries such as Matplotlib and Seaborn.
Seaborn is built on top of Matplotlib and makes creating attractive and statistical charts easier.
A scatter plot or scatter chart is used to visualise the relationship between two variables in a dataset. It
Outliers are data points that deviate significantly from most of the dataset, typically due to errors or
uncommon occurrences.
Cleaning data in Excel means carefully reviewing the dataset to correct errors and improve accuracy.
Dimensionality of data refers to the number of variables or features used to represent an object or observation.
Dimensionality reduction is the process of reducing the number of features in a dataset while preserving its
essential information.
Multi-dimensional data visualization is the use of graphs and charts to represent datasets that have more
than three features.
Exercise
Solved Questions
SECTION A (Objective Type Questions)
AI QUIZ
A. Tick ( ) the correct option.
1. Identify the chart is commonly used to visualise the relationship between two variables in a dataset.
a. Histogram b. Scatter Plot
c. Pie Chart d. Bar Graph
2. What was Looker Studio previously known as?
a. Google Data Studio b. Google Analytics
c. Google Sheets d. Google Charts
3. Which Python library is Seaborn built on top of?
a. NumPy b. Matplotlib
c. Pandas d. TensorFlow
Data Visualization 183

